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import gradio as gr | |
import requests | |
from PIL import Image | |
import io | |
import os | |
API_URL = "https://api-inference.huggingface.co/models/Blane187/kana-arima-s1-ponyxl-lora-nochekaiser" | |
API_TOKEN = os.getenv("HF_READ_TOKEN") | |
headers = {"Authorization": f"Bearer {API_TOKEN}"} | |
def query(inputs): | |
response = requests.post(API_URL, headers=headers, json={"inputs": inputs}) | |
image_bytes = response.content | |
image = Image.open(io.BytesIO(image_bytes)) | |
return image | |
with gr.Blocks(theme="Hev832/niceandsimple") as demo: | |
gr.Markdown("# kana arima serverless") | |
with gr.Row(): | |
prompt_input = gr.Textbox(label="Enter a prompt", placeholder="Astronaut riding a horse") | |
generate_btn = gr.Button("Generate Image") | |
output_image = gr.Image(label="Generated Image") | |
generate_btn.click(fn=query, inputs=prompt_input, outputs=output_image) | |
demo.launch() | |